Author

C. M. Castro

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Research Focus:clustering· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:imaging· 1 Organism:mouse· 1

Frequent Co-Authors

H. Lee· 2 shared A. Green· 1 shared A. Jo· 1 shared A. W. Ohman· 1 shared B. R. Reuda· 1 shared B. Zhao· 1 shared C. P. Crum· 1 shared C. Wang· 1 shared

Activity by Year

2018-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersCancer Biology

H. Lee

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2 papers

Recent·Most cited

Profiling extracellular vesicles in circulation enables the early detection of ovarian cancer

H. Lee, D. M. Dinulescu, C. M. Castro, A. Jo, A. Green, J. E. Medina, S. Iyer, A. W. Ohman, E. T. McCarthy, F. Reinhardt, T. Gerton, D. Demehin, R. Mishra, D. L. Kolin, H. Zheng, , B. R. Reuda

This study develops an extracellular vesicle-based test to detect early-stage high-grade serous ovarian cancer with high sensitivity and specificity using markers identified from murine models and validated in a human pilot study.

bioRxiv · Jan 19, 2023 · PreprintCancer Biology

Deep transfer learning-based hologram classification for molecular diagnostics

S.-J. Kim, C. Wang, B. Zhao, H. Im, J. Min, H. J. Choi, J. Tadros, N. R. Choi, C. M. Castro, R. Weissleder, H. Lee, K. Lee

This paper develops a deep transfer learning method to classify LDIH holograms without image reconstruction, enabling low-cost point-of-care diagnostics.

bioRxiv · Oct 12, 2018Bioengineering